| Disordered domains and high surface charge confer hubs with the ability to interact with multiple proteins in interaction networks A Patil, H Nakamura FEBS letters 580 (8), 2041-2045, 2006 | 320 | 2006 |
| Filtering high-throughput protein-protein interaction data using a combination of genomic features A Patil, H Nakamura BMC bioinformatics 6 (1), 100, 2005 | 180 | 2005 |
| Hub promiscuity in protein-protein interaction networks A Patil, K Kinoshita, H Nakamura International journal of molecular sciences 11 (4), 1930-1943, 2010 | 179 | 2010 |
| HitPredict: a database of quality assessed protein–protein interactions in nine species A Patil, K Nakai, H Nakamura Nucleic acids research 39 (suppl 1), D744-D749, 2011 | 143 | 2011 |
| HitPredict version 4: comprehensive reliability scoring of physical protein–protein interactions from more than 100 species Y López, K Nakai, A Patil Database 2015, bav117, 2015 | 123 | 2015 |
| Organism-level analysis of vaccination reveals networks of protection across tissues M Kadoki, A Patil, CC Thaiss, DJ Brooks, S Pandey, D Deep, D Alvarez, ... Cell 171 (2), 398-413. e21, 2017 | 81 | 2017 |
| Domain distribution and intrinsic disorder in hubs in the human protein–protein interaction network A Patil, K Kinoshita, H Nakamura Protein Science 19 (8), 1461-1468, 2010 | 72 | 2010 |
| OPAL: prediction of MoRF regions in intrinsically disordered protein sequences R Sharma, G Raicar, T Tsunoda, A Patil, A Sharma Bioinformatics 34 (11), 1850-1858, 2018 | 69 | 2018 |
| Methods for protein complex prediction and their contributions towards understanding the organization, function and dynamics of complexes S Srihari, CH Yong, A Patil, L Wong FEBS Letters, 2015 | 67 | 2015 |
| Chemical composition is maintained in poorly conserved intrinsically disordered regions and suggests a means for their classification HA Moesa, S Wakabayashi, K Nakai, A Patil Mol. BioSyst. 8 (12), 3262-3273, 2012 | 57 | 2012 |
| Computerized polymorphic marker identification: experimental validation and a predicted human polymorphism catalog JW Fondon III, GM Mele, RI Brezinschek, D Cummings, A Pande, J Wren, ... Proceedings of the National Academy of Sciences 95 (13), 7514-7519, 1998 | 57 | 1998 |
| Sequence-and species-dependence of proteasomal processivity DA Kraut, E Israeli, EK Schrader, A Patil, K Nakai, D Nanavati, T Inobe, ... ACS chemical biology 7 (8), 1444-1453, 2012 | 55 | 2012 |
| MoRFPred-plus: computational identification of MoRFs in protein sequences using physicochemical properties and HMM profiles R Sharma, M Bayarjargal, T Tsunoda, A Patil, A Sharma Journal of Theoretical Biology 437, 9-16, 2018 | 52 | 2018 |
| HINT-a database of annotated protein-protein interactions and their homologs A Patil, H Nakamura Biophysics 1, 21-24, 2005 | 43 | 2005 |
| OPAL+: length‐specific MoRF prediction in intrinsically disordered protein sequences R Sharma, A Sharma, G Raicar, T Tsunoda, A Patil Proteomics 19 (6), 1800058, 2019 | 41 | 2019 |
| Predicting MoRFs in protein sequences using HMM profiles R Sharma, S Kumar, T Tsunoda, A Patil, A Sharma BMC bioinformatics 17, 251-258, 2016 | 34 | 2016 |
| Linking transcriptional changes over time in stimulated dendritic cells to identify gene networks activated during the innate immune response A Patil, Y Kumagai, K Liang, Y Suzuki, K Nakai PLoS computational biology 9 (11), e1003323, 2013 | 30 | 2013 |
| Use of transcriptional synergy to augment sensitivity of a splicing reporter assay N Levinson, R Hinman, A Patil, CRJ Stephenson, S Werner, GHC Woo, ... RNA 12 (5), 925-930, 2006 | 28 | 2006 |
| Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function A Sharma, A Dehzangi, J Lyons, S Imoto, S Miyano, K Nakai, A Patil PloS one 9 (2), e89890, 2014 | 26 | 2014 |
| FEATS: feature selection-based clustering of single-cell RNA-seq data E Vans, A Patil, A Sharma Briefings in Bioinformatics 22 (4), bbaa306, 2021 | 23 | 2021 |
